Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

Abstract

According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering: Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production systems has led to the disappearance of static scheduling in favour of dynamic scheduling. Additionally, the evolving challenges in the supply chain paradigm have significantly impacted the organisation of production systems. This shift has moved scheduling issues from the tactical to the strategic level, resulting in linear organisations encompassing scheduling decisions. [Proth, Jean Marie. 2007. “Scheduling: New Trends in Industrial Environment.” Annual Reviews in Control 31 (1): 157–166. https://doi.org/10.1016/j.arcontrol.2007.03.005.] emphasised that real-time scheduling in production systems has become a pivotal area of research. He presented several open problems for researchers to address in this context, including (1) the development of real-time algorithms capable of handling multiple operations on the same product and unrelated resources, (2) adapting previous schedules with certain modifications, (3) addressing unforeseen actions that arise randomly in real-time planning, and (4) exploring cyclic scheduling problems with size limits as alternative solutions to heuristic approaches. This paper reviews the evolving trends in light of J.M. Proth's predictions and advice within the aforementioned domains.

KEYWORDS:

• Industry 4.0
• dynamic scheduling
• real-time assignment
• supply chain scheduling
• proactive-reactive scheduling
• cyclic scheduling

Acknowledgments

Dr. Jean-Marie Proth has made an immeasurable and enduring contribution to management science and operational research. His works influenced the research and study of many students, academicians, and practitioners.

Data availability statement

Data supporting the findings of this study are available on a reasonable request from the authors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 https://www.youtube.com/watch?v=hhsDmTrD9e4

Additional information

Notes on contributors

Marzieh Khakifirooz

Marzieh Khakifirooz has a Ph.D. in Industrial Engineering and Engineering Management and an M.S. in Industrial Statistics from the National Tsing Hua University (NTHU), Hsinchu, Taiwan. She is an assistant professor at the School of Engineering, Monterrey Institute of Technology, Mexico. Dr. Khakifirooz has outstanding practical experience from her various global consultancies for high-tech industries and numerous publications in AI-based decision-making. Her research interests include optimisation, data-driven, AI-based, and human-in-the-loop intelligent decision-making, with applications in social goods, smart society, smart manufacturing, smart health, smart energy, and smart mobility. She is the associate editor of the Journal of Energy Systems and Operations Research Forum.

Michel Fathi

Michel Fathi received the B.S. and M.S. degree from the Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2006 and 2008, respectively, and the Ph.D. degree from the Iran University of Science and Technology, Tehran, Iran, in 2013. He was Visiting Scholar at the University of Florida, USA, National Tsing Hua University, Taiwan, and Tecnológico de Monterrey, Mexico. He is an Assistant Professor at the University of North Texas, USA. He has authored or co-authored journal articles such as Technometrics, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, and IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. His research interests include Operations Research, Management Science, Data Science, AI in Business, Cybersecurity and Information Systems, Energy Systems, Healthcare, and Social Goods. Dr. Fathi has received three Postdoctoral Fellowships at Ecole Centrale Paris, France, Ghent University, Belgium, and Mississippi State University, USA. He is the Corresponding Editor of the textbooks Large Scale Optimization in Supply Chains, Smart Manufacturing: Theory and Applications and Optimization in Large Scale Problems: Industry 4.0 and Society 5.0 Applications, and Handbook of Smart Energy Systems. Dr. Fathi is a member of INFORMS, POMS, and DSI and is an associate editor for AI in Business Journal, Energy Systems Journal, and Operations Research Forum Journal.

Alexandre Dolgui

Alexandre Dolgui Professor is an IISE Fellow, Distinguished Professor, and the Head of the Automation, Production, and Computer Sciences Department at the IMT Atlantique campus in Nantes, France. His research focuses on manufacturing line design, production planning, and supply chain optimisation. His main results are based on the exact mathematical programming methods and their intelligent coupling with heuristics and metaheuristics algorithms. He is the co-author of 5 books, the co-editor of 30 books of conference proceedings, the author of more than 300 refereed journal papers, and over 400 papers in conference proceedings. He is the Editor-in-Chief of the International Journal of Production Research (IJPR).

Panos M. Pardalos

Panos M. Pardalos is a Distinguished Professor in the Department of Industrial and Systems Engineering, University of Florida, USA. Additionally, he is the Paul and Heidi Brown Preeminent Professor, Department of Industrial and Systems Engineering. Prof. Pardalos is a world-leading expert in global and combinatorial optimisation. His recent research interests include network design problems, optimisation in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.